Amazon · 2 weeks ago
Senior Applied Scientist, Agentic AI for Data Analytics and Science, Speed Analytics and Science
Bellevue, WA
Full-time
Onsite
Senior Level
$150K/yr - $260K/yr
6+ years expAmazon is seeking an exceptional Applied Scientist to lead the development of agentic AI solutions that simulate, reason, and deliver insights across their complex transportation network. The role involves building intelligent agents that act as data analysts to enhance decision-making for logistics and delivery challenges, contributing to Amazon's key differentiator of delivery speed and customer satisfaction.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Design, build, and deploy autonomous AI agents that support advanced analytics and experimentation workflows in transportation
Develop agents that can interact with APIs, query internal data/knowledge sources, and reason over structured and unstructured data
Collaborate with Data Scientists, BIEs, and Engineers to integrate agentic systems into existing analytical pipelines and business tools
Use agentic AI to simulate customer or system behavior and define new performance and quality metrics for delivery experience
Develop evaluation frameworks to measure agent performance, scalability, and business impact
Contribute to the development of shared infrastructure for agent development—such as reusable APIs, prompt libraries, and model registries
Partner with internal AWS teams to stay aligned with best-in-class tools and infrastructure for generative and agentic AI
Stay current on emerging AI/ML technologies and act as an evangelist within the team—driving adoption of new approaches and ensuring scalable, modern solutions are leveraged where appropriate
Guide quality improvement programs through data-driven insights generated by agentic systems
Qualification
Required
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Preferred
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc
Experience with large scale distributed systems such as Hadoop, Spark etc
Benefits
Equity
Sign-on payments
Medical
Financial
Other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-08
Maryland Daily Record
2026-01-08
Company data provided by crunchbase